LDMX-Software/ldmx-sw
May 2026 – Jul 2026
2 Months active
Languages Used
C++
Technical Skills
C++algorithm developmentdata processingBackend DevelopmentCMakeData Analysis
kvarnla
PROFILE
Kvarnla
Over a two-month period, contributed backend development and algorithm enhancements to the LDMX-Software/ldmx-sw repository, focusing on clustering and tracking workflows. Developed an amplitude-weighted centroid clustering feature in C++, introducing a configurable weighting factor to improve centroid accuracy under varying signal strengths and enhance data processing reliability. Later, implemented a Look-Up Table (LUT) based tracking workflow for Trigger Scintillators, delivering end-to-end tooling and integration for reproducible, data-driven trigger tracking. This work included Python-based analysis tools, configuration scripts, and build improvements using CMake, resulting in more flexible clustering algorithms and streamlined LUT generation and usage within the production tracking pipeline.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
769
Activity Months2
Your Network
18 peopleWork History
July 2026
1 Commits • 1 Features
Jul 1, 2026July 2026 monthly summary for LDMX software development. Delivered a robust LUT-based tracking workflow for Trigger Scintillators within the LDMX software stack, enabling reproducible, data-driven trigger tracking and faster experimentation cycles. The work encompassed end-to-end tooling, integration, and configuration that streamline LUT creation and usage in production tracking pipelines. While focused on the LUT path, accompanying code quality and build improvements were completed to ensure maintainability and reliability.
1 Commits • 1 Features
Jul 1, 2026July 2026 monthly summary for LDMX software development. Delivered a robust LUT-based tracking workflow for Trigger Scintillators within the LDMX software stack, enabling reproducible, data-driven trigger tracking and faster experimentation cycles. The work encompassed end-to-end tooling, integration, and configuration that streamline LUT creation and usage in production tracking pipelines. While focused on the LUT path, accompanying code quality and build improvements were completed to ensure maintainability and reliability.
July 2026
May 2026
1 Commits • 1 Features
May 1, 2026May 2026: Implemented Amplitude-Weighted Centroid Clustering Enhancement in LDMX-Software/ldmx-sw to improve clustering accuracy under varying signal strengths by introducing a configurable amplitude-weighting factor for cluster centroids.
May 2026
1 Commits • 1 Features
May 1, 2026May 2026: Implemented Amplitude-Weighted Centroid Clustering Enhancement in LDMX-Software/ldmx-sw to improve clustering accuracy under varying signal strengths by introducing a configurable amplitude-weighting factor for cluster centroids.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Backend DevelopmentC++CMakeData AnalysisPythonalgorithm developmentdata processing
Repositories Contributed To
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